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  3. CrashSight: A Phase-Aware, Infrastructure-Centric Video Benc
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CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning

Stale11d agoPending verification refs / 3 sources / Verification pending
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Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

Use Signal Canvas as the narrative proof surface

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Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/crashsight-a-phase-aware-infrastructure-centric-video-benchmark-for-traffic-crash-scene-understanding-and-reasoning

building
Observed
2026-04-10
Fresh until
2026-04-24
Coverage
50%
Source count
3
Stale after
2026-04-24

Proof data is outside the preferred freshness window.

Proof Quality

One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.

Verification pending
Last verified
2026-04-10
References
0
Sources
3
Coverage
50%

Commercialization rails stay hidden until proof clears: proof_status, references_count.

Search indexing stays off until proof clears: proof_status, references_count.

Agent Handoff

CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning

Canonical ID crashsight-a-phase-aware-infrastructure-centric-video-benchmark-for-traffic-crash-scene-understanding-and-reasoning | Route /signal-canvas/crashsight-a-phase-aware-infrastructure-centric-video-benchmark-for-traffic-crash-scene-understanding-and-reasoning

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/crashsight-a-phase-aware-infrastructure-centric-video-benchmark-for-traffic-crash-scene-understanding-and-reasoning

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "crashsight-a-phase-aware-infrastructure-centric-video-benchmark-for-traffic-crash-scene-understanding-and-reasoning",
    "query_text": "Summarize CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning",
  "normalized_query": "2604.08457",
  "route": "/signal-canvas/crashsight-a-phase-aware-infrastructure-centric-video-benchmark-for-traffic-crash-scene-understanding-and-reasoning",
  "paper_ref": "crashsight-a-phase-aware-infrastructure-centric-video-benchmark-for-traffic-crash-scene-understanding-and-reasoning",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning

PDF: https://arxiv.org/pdf/2604.08457v1

Source count: 3

Coverage: 50%

Last proof check: 2026-04-10T17:36:51.912Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning

Overall score: 7/10
Lineage: f27eed9e0d28…
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Canonical Paper Receipt

Last verification: 2026-04-10T17:36:51.912Z

Freshness: stale

Proof: unverified

Repo: missing

References: 0

Sources: 3

Coverage: 50%

Missingness
  • - repo_url
  • - references
  • - proof_status
Unknowns
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Keep exploring

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